74 search results - page 8 / 15 » Learning in Dynamic Environments: Decision Trees for Data St... |
177
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QRE
2010
2010
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
15 years 4 months ago
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
169
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JMLR
2010
15 years 1 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
188
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ICDE
2009
IEEE
16 years 1 months ago
2009
IEEE
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
153
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
172
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TNN
2008
15 years 6 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...